Difeng Cai - RankMe

21 papers A 2Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-driven self-supervised learning for the discovery of solution singularity for partial differential equations. J. Comput. Phys. Difeng Cai, Paulina Sepúlveda
2025	J	`jnl`	Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations. CoRR Difeng Cai, Paulina Sepúlveda
2025	J	`jnl`	Hybrid a posteriori error estimators for conforming finite element approximations to stationary convection-diffusion-reaction equations. Numerische Mathematik Difeng Cai, Zhiqiang Cai
2025	J	`jnl`	Posterior Covariance Structures in Gaussian Processes. SIAM J. Matrix Anal. Appl. Difeng Cai, Edmond Chow, Yuanzhe Xi
2025	J	`jnl`	Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization. CoRR Tianshi Xu, Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	Data-Driven Construction of Hierarchical Matrices With Nested Bases. SIAM J. Sci. Comput. Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	Posterior Covariance Structures in Gaussian Processes. CoRR Difeng Cai, Edmond Chow, Yuanzhe Xi
2023	J	`jnl`	Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach. Numer. Linear Algebra Appl. Difeng Cai, Edmond Chow, Yuanzhe Xi
2022	J	`jnl`	AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows. CoRR Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi
2022	A	`conf`	AUTM flow: atomic unrestricted time machine for monotonic normalizing flows. UAI Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi
2022	J	`jnl`	Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach. CoRR Difeng Cai, Edmond Chow, Yuanzhe Xi
2022	J	`jnl`	Data-driven Construction of Hierarchical Matrices with Nested Bases. CoRR Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2022	J	`jnl`	Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets. SIAM J. Matrix Anal. Appl. Difeng Cai, James G. Nagy, Yuanzhe Xi
2022	J	`jnl`	Physics-informed distribution transformers via molecular dynamics and deep neural networks. J. Comput. Phys. Difeng Cai
2021	J	`jnl`	Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions. CoRR Difeng Cai, James G. Nagy, Yuanzhe Xi
2021	J	`jnl`	Hybrid A Posteriori Error Estimators for Conforming Finite Element Approximations to Stationary Convection-Diffusion-Reaction equations. CoRR Difeng Cai, Zhiqiang Cai
2020	A	`conf`	Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling. IPDPS Lucas Erlandson, Difeng Cai, Yuanzhe Xi, Edmond Chow
2020	J	`jnl`	Eigenvalue Problems for Exponential-Type Kernels. Comput. Methods Appl. Math. Difeng Cai, Panayot S. Vassilevski
2020	J	`jnl`	Robust Equilibrated Error Estimator for Diffusion Problems: Mixed Finite Elements in Two Dimensions. J. Sci. Comput. Difeng Cai, Zhiqiang Cai, Shun Zhang
2020	J	`jnl`	Robust equilibrated a posteriori error estimator for higher order finite element approximations to diffusion problems. Numerische Mathematik Difeng Cai, Zhiqiang Cai, Shun Zhang
2018	J	`jnl`	SMASH: Structured matrix approximation by separation and hierarchy. Numer. Linear Algebra Appl. Difeng Cai, Edmond Chow, Lucas Erlandson, Yousef Saad, Yuanzhe Xi